Intern DRAM Quality Data Analytics Engineer
@ Micron Technology

Boise, Idaho, United States
$25,000
On Site
Posted 23 days ago

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Job Details

About the Role

The Intern DRAM Quality Data Analytics Engineer will work towards a BS/MS/Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Industrial Engineering or a similar field. This internship provides an opportunity to develop fluency in Python and SQL while building a strong foundation in DRAM operations and semiconductor manufacturing.

Key Responsibilities

  • Develop and apply data analytics skills using Python and SQL.
  • Collaborate with team members and cross-functional partners.
  • Analyze DRAM operation and semiconductor reliability data.
  • Create visual dashboards using tools like Tableau, PowerBI, or JMP.
  • Utilize Linux based operating systems and cloud computing (GCP, AWS, etc.).

What We Are Looking For

Candidates should have a deep understanding of statistics applied to data analysis, familiarity with semiconductor reliability tests and failure mechanisms, and a zeal for collaboration. Experience in cloud environments and data visualization is an asset.

Key Skills/Competency

  • Python
  • SQL
  • DRAM
  • Semiconductor
  • Statistics
  • Data Analysis
  • Data Visualization
  • Linux
  • Cloud Computing
  • Collaboration
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How to Get Hired at Micron Technology

🎯 Tips for Getting Hired

  • Customize your resume: Highlight Python, SQL, and data analytics projects.
  • Showcase collaboration: Detail teamwork and cross-functional project experiences.
  • Emphasize technical skills: Include DRAM and semiconductor coursework.
  • Prepare for interviews: Review statistics and data visualization tools.

📝 Interview Preparation Advice

Technical Preparation

Practice Python coding challenges.
Review SQL query optimization techniques.
Study semiconductor manufacturing basics.
Learn Linux and cloud platform basics.

Behavioral Questions

Describe a collaborative project experience.
Explain handling tight deadlines effectively.
Discuss your problem-solving approach.
Illustrate learning from constructive criticism.

Frequently Asked Questions